Probabilistic Graph Programs for Randomised and Evolutionary Algorithms.
Timothy AtkinsonDetlef PlumpSusan StepneyPublished in: ICGT (2018)
Keyphrases
- evolutionary algorithm
- optimization problems
- multi objective
- differential evolution
- evolutionary computation
- fitness function
- graph model
- graph representation
- computer programs
- uncertain data
- bayesian networks
- weighted graph
- graph theory
- connected components
- probabilistic model
- differential evolution algorithm
- generative model
- simulated annealing
- multi objective optimization
- genetic algorithm
- graph based algorithm
- directed graph
- genetic programming
- probabilistic logic
- evolution strategy
- probabilistic logic programs
- probabilistic reasoning
- probabilistic networks
- logic programming
- objective function
- nsga ii
- directed acyclic graph
- answer sets
- belief networks
- graph matching
- graph theoretic
- structured data
- random walk
- evolutionary process
- graph construction
- evolvable hardware
- neural network